sofia-todeschini
commited on
Commit
•
3287f65
1
Parent(s):
160a6e4
Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +102 -0
- pytorch_model.bin +3 -0
- runs/Jun25_12-01-26_c294f7234abf/1719317148.4607797/events.out.tfevents.1719317148.c294f7234abf.33.1 +3 -0
- runs/Jun25_12-01-26_c294f7234abf/events.out.tfevents.1719317148.c294f7234abf.33.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bioformers/bioformer-litcovid",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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"id2label": {
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"0": "Epidemic Forecasting",
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"1": "Treatment",
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"2": "Prevention",
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"3": "Mechanism",
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"4": "Case Report",
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"5": "Transmission",
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"6": "Diagnosis",
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"7": "Long Covid",
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"8": "General Info",
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"9": "Communication",
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"10": "Contact Tracing",
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"11": "Drug Targets",
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"12": "Education",
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"13": "Effect on Medical Specialties",
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"14": "Health Policy",
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"15": "Healthcare Workers",
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"16": "Imaging",
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"17": "Immunology",
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"18": "Inequality",
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"19": "Medical Devices",
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"20": "Misinformation",
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"21": "Model Systems & Tools",
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"22": "Molecular Biology",
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"23": "Non-human",
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"24": "Non-medical",
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"25": "Pediatrics",
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"26": "Prevalence",
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"27": "Psychology",
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"28": "Recommendations",
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"29": "Risk Factors",
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"30": "Surveillance",
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"31": "Vaccines",
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"32": "AI/ML/statistics",
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"33": "Comorbidities",
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"34": "Telemedicine",
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"35": "Drug Design and Discovery"
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},
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"label2id": {
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"AI/ML/statistics": 32,
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"Case Report": 4,
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"Communication": 9,
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"Comorbidities": 33,
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"Contact Tracing": 10,
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"Diagnosis": 6,
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"Drug Design and Discovery": 35,
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"Drug Targets": 11,
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"Education": 12,
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"Effect on Medical Specialties": 13,
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"Epidemic Forecasting": 0,
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"General Info": 8,
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"Health Policy": 14,
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"Healthcare Workers": 15,
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"Imaging": 16,
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"Immunology": 17,
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"Inequality": 18,
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"Long Covid": 7,
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"Mechanism": 3,
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"Medical Devices": 19,
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"Misinformation": 20,
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"Model Systems & Tools": 21,
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"Molecular Biology": 22,
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"Non-human": 23,
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"Non-medical": 24,
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"Pediatrics": 25,
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"Prevalence": 26,
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"Prevention": 2,
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"Psychology": 27,
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"Recommendations": 28,
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"Risk Factors": 29,
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"Surveillance": 30,
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"Telemedicine": 34,
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"Transmission": 5,
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"Treatment": 1,
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"Vaccines": 31
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.28.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32768
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d015c75c2e3250ce358f748027d1330ba946d3d52e0bee181733e4bd3139aac
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size 170217205
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runs/Jun25_12-01-26_c294f7234abf/1719317148.4607797/events.out.tfevents.1719317148.c294f7234abf.33.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3659d180df5cd3baf452bf10860b8b678fcace1fd0e6e8b8f5093fa25e07bd0
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size 5910
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runs/Jun25_12-01-26_c294f7234abf/events.out.tfevents.1719317148.c294f7234abf.33.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b832d7bf1faa10b9165bd7307180b25f9c0baa15dd0eb6f103a34e63cee53fa0
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size 7097
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"padding": true,
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation": true,
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2e00ed7247006637c33136c42172ff8c355a7abd9b7bb28b6d7fb731dedf16e
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size 3643
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vocab.txt
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